Mac mini (2024)
Geekbench AI Score
8720
Single Precision Score
10459
Half Precision Score
9309
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 05:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4610
857.2 IPS |
|
|
Image Classification (HP)
|
100% |
4979
926.0 IPS |
|
|
Image Classification (Q)
|
97% |
4374
816.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5015
81.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7033
114.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7587
123.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29947
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32096
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30594
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
5015
397.8 IPS |
|
|
Object Detection (HP)
|
100% |
5446
432.0 IPS |
|
|
Object Detection (Q)
|
91% |
4665
372.8 IPS |
|
|
Face Detection (SP)
|
100% |
13146
156.2 IPS |
|
|
Face Detection (HP)
|
100% |
15864
188.5 IPS |
|
|
Face Detection (Q)
|
100% |
12048
143.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21506
165.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23636
182.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20248
158.3 IPS |
|
|
Style Transfer (SP)
|
100% |
59988
77.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72139
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
67904
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12305
454.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13755
507.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10689
394.7 IPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5416
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5408
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1078
18.6 IPS |
